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Applied Natural Language Processing Class Project Exhibition

Monday, December 14, 2015
12:00 pm - 2:00 pm
210 South Hall

Students from Info 256. Applied Natural Language Processing present their course final projects.

Drop in between 12 and 2 to meet the students, learn about their projects, and ask questions.

This course is taught by professor Marti Hearst and examines the state-of-the-art in applied natural language processing (also known as content analysis and language engineering), with an emphasis on how well existing algorithms perform and how they can be used (or not) in applications. Topics include part-of-speech tagging, shallow parsing, text classification, information extraction, incorporation of lexicons and ontologies into text analysis, and question answering.


Student Projects

A Poetic Hack
Andrea Gagliano
Emily Paul

Byte-ing More Than We Can Chew (Bitcoin)
Richard Lu

Categorizing Characters with NLP
Alex Lin
Emily Scharff
Evan Yao

Coding Interviews
Brian Goodness
Robin Kalia

Emojineering
Daniel Chen
Carlo Liquido
Hadrien Renold

FoodWise: Menu Insights
Brian Carlo
Nico Soldi

How Daters Present Themselves
Matar Haller
Jaya Narasimhan
Juan Shishido

Public Policy Planning
Graham MacDonald

Review Digest
Ankur Kumar
Keshav Polturi
Richa Prajapati

Role(models) in Film
Wenqin Chen
Jordan Shedlock

Wells Fargo Social Media Challenge
Paul Glenn
Vijay Velagapudi

Yelp Elitism
Rachel Lee
Michael Peng
Pratibha Rathore

Yelp Restaurant Recommender
Anubhav Gupta
Chris Little

Last updated:

December 11, 2015